Triple
T19552727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belcalis Marlenis Almánzar |
E489231
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Wave Set Cephus |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wave Set Cephus | Statement: [Belcalis Marlenis Almánzar, hasChild, Wave Set Cephus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wave Set Cephus Context triple: [Belcalis Marlenis Almánzar, hasChild, Wave Set Cephus]
-
A.
Wave Set Cephus
chosen
Wave Set Cephus is the son of American rapper Cardi B and fellow rapper Offset.
-
B.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
-
C.
Heaven Cent
Heaven Cent is a fantasy novel in Piers Anthony’s long-running Xanth series, following a young hero’s magical quest in a pun-filled, whimsical world.
-
D.
El Nozha
El Nozha is a residential district in northeastern Cairo, Egypt, known for its middle-class neighborhoods and proximity to Cairo International Airport.
-
E.
Hagikaze
Hagikaze was an Imperial Japanese Navy destroyer that served in World War II and was sunk during the Pacific War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d315c68819087402802d624a8c9 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.